Lead research and development of agentic AI and multi-agent systems integrating LLMs, memory, planning, tool use, and GraphRAG-style retrieval. Develop graph machine learning and geometric deep learning pipelines, build knowledge-augmented AI (knowledge graphs, ontologies), and ensure trustworthy AI via XAI, V&V, robustness testing, and uncertainty quantification. Collaborate across teams, publish research, and support proposal development for mission-critical autonomous and decision-support applications.

Develop ML and multimodal AI systems that integrate neurophysiological, behavioral, and sensor data for cognitive state estimation and decision support. Build algorithms and prototypes, apply cognitive science to improve explainability and human-AI collaboration, contribute to proposals/publications, and demonstrate capabilities for mission-driven R&D.